TDWI instructor Chris Adamson defines dimensional data modeling as “the nexus of a holistic approach to managing business intelligence, analytics, and governance programs. Used at a program level to ...

Visit the CBIP group at tdwi.org/linkedin/cbip. Since 2003, TDWI and the ICCP have provided the CBIP certification to global business and industry through their ...

Retrieval-augmented generation (RAG) techniques are employed to combine the generative power of LLMs with the retrieval ...

Enterprises are inundated with data, yet many struggle to translate it into insights that drive business impact. Siloed data trapped in legacy systems creates blind spots in customer and operational ...

Data engineering is essential to achieving innovation in AI, analytics, and data-rich business applications. Data engineers ensure that data is fit for today’s data-driven organizations. Data ...

This is a list of the winners of TDWI's Best Practices Awards 2008 program, which is designed to identify and honor companies that have demonstrated excellence in developing, deploying, and ...

One of the strongest trends in data management today and into the future is the development of complex, multi-platform architectures that generate and integrate an eclectic mix of old and new data, in ...

[NOTE-- My new TDWI report “Integrating Hadoop into Business Intelligence (BI) and Data Warehousing (DW)” (Hadoop4BIDW) is finished and will be published in early April. I will broadcast the report’s ...

Overlooking the San Diego Bay, the Hilton San Diego Bayfront Hotel, steps from the vibrant Gaslamp Quarter and Petco Park, will serve as the official headquarters hotel for the co-located TDWI ...

Today, many organizations realize that analytics can provide an important competitive advantage. These organizations want to move forward to evolve their analytics strategies beyond spreadsheets and ...

Data environments are becoming increasingly complex. Many organizations are employing what TDWI terms a multiplatform data architecture to manage new and disparate data sources. This might include the ...